Informace o publikaci
Governance of AI and by AI : Feedback Loops, Regime Variation and Reflexive Polycentric Control
| Autoři | |
|---|---|
| Rok publikování | 2026 |
| Druh | Recenzovaný odborný článek |
| Časopis / Zdroj | Global Policy |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | Full text (open access) |
| Doi | https://doi.org/10.1111/1758-5899.70177 |
| Klíčová slova | AI governance; cybernetic control; legitimacy; political regimes; reflexive polycentric control |
| Přiložené soubory | |
| Popis | This article develops a conceptual framework that links the governance of and by artificial intelligence (AI) into a single con-tinuum that varies across political regime types. Although existing scholarship typically treats governance of AI—oversight,regulation and ethical alignment—and governance by AI—the embedding of algorithms into decision-making—as separatedomains, this article argues that such a dichotomy obscures their mutual dependence. It introduces the framework of ReflexivePolycentric Control (RPC), which views AI governance as two coupled feedback loops: an outer loop of societal oversight andan inner loop of operational deployment. Drawing on reflexive modernization, cybernetic control theory and polycentric gov-ernance, RPC specifies three design principles—distributed authority, requisite variety and reflexive checkpoints—that enablestability and adaptability. The framework further highlights how regime type conditions loop dynamics. Democracies exhibitresilience but fragmentation, autocracies achieve coherence at the cost of brittleness, and transitional regimes face volatility be-cause of inconsistent feedback. RPC thereby provides a logically coherent, testable baseline for analysing AI governance acrossdiverse political contexts and for guiding future empirical research. |